Decoding political trust in China: (Record no. 41407)

MARC details
000 -LEADER
fixed length control field 01675cam a2200145 4500
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name LI Lianjiang
245 ## - TITLE STATEMENT
Title Decoding political trust in China:
Remainder of title a machine learning analysis/
Statement of responsibility, etc. Lianjiang Li
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2022
520 ## - SUMMARY, ETC.
Summary, etc. Survey results inflate political trust in China if the observed trust in the central government is mistaken for the latent trust in the Centre. The target of trust in the country is the Centre, which is ultimately the top leader. The critical issue domain for assessing the Centre's trustworthiness is policy implementation rather than policymaking. The Centre's trustworthiness has two dimensions: commitment to good governance and the capacity to discipline local officials. Observed trust in the central government indicates trust in the Centre's commitment, while observed trust in the local government reflects confidence in the Centre's capacity. A machine learning analysis of a national survey reveals how much conventional reading overestimates political trust. At first glance, 85 per cent of the respondents trust the central government. Upon further inspection, 18 per cent have total trust in the Centre, 34 per cent have partial trust and 33 per cent are sceptical.
598 ## - BULLETIN HEADING
Bulletin Heading CHINA, POLITICS
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element POLITICAL TRUST
General subdivision TRUST IN THE CENTRE
-- TRUST IN THE CENTRAL GOVERNMENT
-- TRUST IN THE LOCAL GOVERNMENT
-- MACHINE LEARNING
Geographic subdivision CHINA
773 ## - HOST ITEM ENTRY
Main entry heading The China Quarterly:
Related parts March 2022, No.249, pp.1-20 (17)
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.cambridge.org/core/journals/china-quarterly/article/decoding-political-trust-in-china-a-machine-learning-analysis/68800E4EDEB0E4EE58248D7464B82765">https://www.cambridge.org/core/journals/china-quarterly/article/decoding-political-trust-in-china-a-machine-learning-analysis/68800E4EDEB0E4EE58248D7464B82765</a>
Public note Click here for full text
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
i 67345.1001
r Y
s Y
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
          Mindef Library & Info Centre Mindef Library & Info Centre Journals 19/07/2022   CHINA 67345.1001 03/01/2024 1 03/01/2024 Journal Article